## Sources

1. [Channels](https://www.annualreviews.org/content/journals/10.1146/annurev-anthro-041524-022740?TRACK=RSS)
2. [The Changing Landscape of Police Interviewing and Interrogation](https://www.annualreviews.org/content/journals/10.1146/annurev-criminol-032924-124727?TRACK=RSS)
3. [Economic Growth Under Transformative AI](https://www.annualreviews.org/content/journals/10.1146/annurev-economics-051624-061002?TRACK=RSS)
4. [Microstructure of Blockchain Cryptocurrency Markets](https://www.annualreviews.org/content/journals/10.1146/annurev-financial-111524-124828?TRACK=RSS)

---

### **Channels | Alaina Lemon**

*   **Main Arguments:**
    *   Channels are traditionally viewed simply as the basic conditions that enable communication to occur [1].
    *   Anthropological research indicates that **channels are not neutral**; they are influenced by social, material, and political forces [1].
    *   Beyond enabling communication, channels can be intentionally used to **limit or prevent** interaction [1].

*   **Key Takeaways:**
    *   Channels facilitate a relationship between **specific sentiences** under specific conditions, often requiring deliberate choices [1].
    *   Because they connect or exclude different individuals, channels both depend on and provide **multiple, diverging perspectives** [1].
    *   Analyzing channels helps reveal shifting **social locations** and relationships rather than just technical fidelity [1].

*   **Important Details:**
    *   Ethnographic study of how people "make, imagine, use, distort, check, block, and rechannel" communication reveals agency in maintaining or transforming **social orders and infrastructures** [1].
    *   The review suggests that "checking channels" is a social act that maps how people relate to one another [1].

---

### **Economic Growth Under Transformative AI | Philip Trammell and Anton Korinek**

*   **Main Arguments:**
    *   The arrival of AI systems capable of automating virtually all human work is a near-term possibility with profound macroeconomic consequences [2].
    *   The automation of production would allow machines to **self-replicate**, which would dramatically increase the economic growth rate [2].
    *   The automation of research and development (R&D) would enable machines to **self-improve**, further accelerating economic transformation [2].

*   **Key Takeaways:**
    *   Transformative AI would likely break the **Kaldor Facts**, which are the long-standing statistical properties characterized by stable growth and labor shares in frontier economies [2].
    *   While output would explode, the **labor share of income would plummet** [2].
    *   The impact on **wages** is uncertain; they could rise or fall depending on returns to scale, the direction of technical change, and the scarcity of natural resources [2].

*   **Important Details:**
    *   The framework used in the source synthesizes multiple strands of existing economic literature to model these scenarios [2].
    *   While R&D automation is a powerful accelerator, the authors suggest it may not produce a total economic transformation in isolation without production automation [2].

---

### **Microstructure of Blockchain Cryptocurrency Markets | Alfred Lehar and Christine A. Parlour**

*   **Main Arguments:**
    *   **Decentralized exchanges (DEXs)** are the foundational trading venues for the decentralized finance (DeFi) movement [3].
    *   These markets rely on **automated market makers (AMMs)**, which are computer programs that run on the blockchain [3].
    *   AMMs replace traditional intermediaries by automatically administering liquidity and setting trade terms [3].

*   **Key Takeaways:**
    *   Blockchain-based markets differ significantly from traditional financial markets in their mechanics of **liquidity provision** and price setting [3].
    *   Liquidity providers in these systems receive compensation through distinct mechanisms compared to traditional market makers [3].
    *   The "microstructure" of these markets is defined by the underlying blockchain data and the protocols that govern the AMMs [3].

*   **Important Details:**
    *   The source serves as a guide for academic researchers on how to interpret and utilize **blockchain data** for financial study [3].
    *   The study focuses on the specific mechanisms behind how prices are set within these decentralized environments [3].

---

### **The Changing Landscape of Police Interviewing and Interrogation | Christopher E. Kelly and Allison D. Redlich**

*   **Main Arguments:**
    *   Police questioning of suspects is shifting away from traditional "interrogation" toward **investigative interviewing** [4].
    *   This evolution is characterized by a move from seeking **confessions** to searching for truthful, accurate, and complete information [4].
    *   Academic research in legal and psychological fields has been a primary driver of these reforms [4].

*   **Key Takeaways:**
    *   There is now a robust body of scientific literature that identifies **effective and ethical** approaches to questioning suspects [4].
    *   Reforms based on this research have been implemented both within the United States and internationally [4].
    *   Modern models emphasize **rapport-building** and information-gathering over coercive or accusatorial tactics [4-6].

*   **Important Details:**
    *   Key topics within this field include **deception detection** and the study of risk factors that lead to false confessions [4, 5].
    *   The authors highlight that despite decades of study, further research is needed by scholars of crime and justice to refine these practices [4].
    *   The literature cited in the source spans from early 20th-century reports on "lawlessness in law enforcement" to modern studies on the **Strategic Use of Evidence (SUE)** and the **PEACE model** of interviewing [7, 8]